List your company

Multi-choice Video Question Answering on MVBench

67.6Avg AccuracyTarsier-34B
25.16836.18447.258.216Mar 22, 2024Jul 13, 2024Nov 4, 2024Feb 26, 2025Jun 20, 2025Oct 12, 2025Feb 3, 2026

Evaluation results

MethodLinks
Tarsier-34BMode=Zero-shot2024.0667.6————————————————————
VideoChat2-HD-F16ViEncoder=InternVideo2_S3-1B, LLM=Mistral-7B, Frames=162024.0367.2————————————————————
VideoChat2-HDViEncoder=InternVideo2_S3-1B, LLM=Mistral-7B2024.0365.4————————————————————
Tarsier-7BMode=Zero-shot2024.0662.6————————————————————
VideoLLaMA2Model Scale=72B, #Frames=162024.0662————————————————————
VideoLLaMA2LLM size=72B, Video-Gen=false2024.1262————————————————————
LLaVAction-7Bzero-shot=true2025.0361.1————————————————————
InternVideo2Mode=Zero-shot2024.0660.9————————————————————
VideoChat2Mode=Zero-shot2024.0660.4————————————————————
VideoChat2-7Bzero-shot=true2025.0360.4————————————————————
VideoChat2ViEncoder=InternVideo2_S3-1B, LLM=Mistral-7B2024.0360.3————————————————————
LLaVA-OneVisionModel Scale=72B, #Frames=322024.0659.5————————————————————
VideoGPT+2024.0658.769608348.566.585.575.536443489.539.57190.545535029.54460
LLaVA-Video-7Bzero-shot=true2025.0358.6————————————————————
PLLaVA 34BVision Encoder=ViT-L, LLM Size=34B2024.0458.167.55382477968.567.536.537.549.59140.5437051.55066.539.563.559
PLLAVAMode=Zero-shot2024.0658.1————————————————————
PLLAVAModel Scale=34B, #Frames=162024.0658.1————————————————————
VideoLLaMA2.1Model Scale=7B, #Frames=162024.0657.3————————————————————
LLaVA-OV-7Bzero-shot=true2025.0356.7————————————————————
ST-LLMVision Encoder=BLIP2, LLM Size=7B2024.0454.96653.5844458.580.573.538.542.53186.536.556.578.54344.546.534.541.558.5
ST-LLMMode=Zero-shot2024.0654.9————————————————————
VideoLLaMA2ViEncoder=CLIP-L-336, LLM=Mistral-7B2024.0354.6————————————————————
VideoLLaMA2Model Scale=7B, #Frames=162024.0654.6————————————————————
VideoLLaMA2LLM size=7B, Video-Gen=false2024.1254.6————————————————————
VideoLLaMA2-7Bzero-shot=true2025.0354.6————————————————————
mPLUG-Owl3zero-shot=true2025.0354.5————————————————————
VideoLLaMA2ViEncoder=CLIP-L-336, LLM=Mistral-8*7B2024.0353.9————————————————————
VideoLLaMA2Model Scale=8x7B, #Frames=82024.0653.9————————————————————
VideoLLaMA2LLM Size=46.7B, Vis Encoder=CLIP-L, Training Regime=Training-Based2026.0253.9————————————————————
VideoLLaMA2Model Scale=7B, #Frames=82024.0653.4————————————————————
Divot-LLMLLM size=7B, Video-Gen=true2024.1252.1————————————————————
KTV-34B-normalLLM Size=34B, Vis Encoder=CLIP-L, Training Regime=Training-Free, Variant=normal2026.0252.1————————————————————
KTV-34B-sparseLLM Size=34B, Vis Encoder=CLIP-L, Training Regime=Training-Free, Variant=sparse2026.0251.9————————————————————
KTV-34B-denseLLM Size=34B, Vis Encoder=CLIP-L, Training Regime=Training-Free, Variant=dense2026.0251.5————————————————————
VideoChat2Vision Encoder=UMT-L, LLM Size=7B2024.0451.16647.583.549.5605871.542.5232388.5394258.5444936.53540.565.5
VideoChat22024.0651.16647.583.549.5605871.542.5232388.5394258.5444936.53540.565.5
VideoChat2ViEncoder=UMT-L, LLM=Vicuna-7B2024.0351.1————————————————————
VideoChat2Model Scale=7B, #Frames=162024.0651.1————————————————————
VideoChat2LLM size=7B, Video-Gen=false2024.1251.1————————————————————
PLLaVA 13BVision Encoder=ViT-L, LLM Size=13B2024.0450.1665365.545655864.535.523.5308539.545.55747.549.549335337
SF-LLaVA-7BLLM Size=34B, Vis Encoder=CLIP-L, Training Regime=Training-Free2026.0249.6————————————————————
IG-VLMLLM Size=34B, Vis Encoder=CLIP-L, Training Regime=Training-Free2026.0249————————————————————
PLLaVA 7BVision Encoder=ViT-L, LLM Size=7B2024.0446.6584955.5416156613623.5268239.54252454253.530.54831
LLaVA-Next-VideoViEncoder=CLIP-L, LLM=Vicuna-7B2024.0346.5————————————————————
LLaVA-NeXT-VideoModel Scale=7B, #Frames=322024.0646.5————————————————————
LLaVA-NeXT-VideoLLM size=7B, Video-Gen=false2024.1246.5————————————————————
KTV-7B-normalLLM Size=7B, Vis Encoder=CLIP-L, Training Regime=Training-Free, Variant=normal2026.0246.4————————————————————
KTV-7B-sparseLLM Size=7B, Vis Encoder=CLIP-L, Training Regime=Training-Free, Variant=sparse2026.0246.2————————————————————
KTV-7B-denseLLM Size=7B, Vis Encoder=CLIP-L, Training Regime=Training-Free, Variant=dense2026.0246————————————————————
GPT4-V2024.0643.7————————————————————
GPT4-VVideo-Gen=false2024.1243.7————————————————————
GPT-4VVision Encoder=N/A, LLM Size=GPT-42024.0443.555.563.57246.573.518.55929.51240.583.5391222.54547.552315911
GPT-4V2024.0643.555.563.57246.573.518.55929.51240.583.5391222.54547.552315911
GPT-4VLLM=GPT-42024.0343.5————————————————————
GPT-4Vzero-shot=true2025.0343.5————————————————————
SF-LLaVA-7BLLM Size=7B, Vis Encoder=CLIP-L, Training Regime=Training-Free2026.0243.3————————————————————
IG-VLMLLM Size=7B, Vis Encoder=CLIP-L, Training Regime=Training-Free2026.0242.9————————————————————
LLAMA-VIDModel Scale=7B, #Frames=1 fps2024.0641.9————————————————————
LLaMA-VIDLLM size=7B, Video-Gen=false2024.1241.9————————————————————
Video-LLaVAModel Scale=7B, #Frames=82024.0641————————————————————
Video-LLaVALLM size=7B, Video-Gen=false2024.1241————————————————————
Video-LLaVALLM Size=7B, Vis Encoder=ViT-L, Training Regime=Training-Based2026.0241————————————————————
Gemini 1.0 Pro2024.0337.7————————————————————
VideoChatVision Encoder=CLIP-G, LLM Size=7B2024.0435.533.526.55633.540.55340.53025.52748.53520.542.54626.54123.523.536
VideoChat2024.0635.533.526.55633.540.55340.53025.52748.53520.542.54626.54123.523.536
Video-LLAMAVision Encoder=CLIP-G, LLM Size=7B2024.0434.127.525.55129394840.53822.522.5433422.532.545.532.540302137
VideoLLaMA2024.0634.127.525.55129394840.53822.522.5433422.532.545.532.540302137
Video-ChatGPTVision Encoder=ViT-L, LLM Size=7B2024.0432.723.5266222.526.554284023203130.525.539.548.5293329.52635.5
Video-ChatGPT2024.0632.723.5266222.526.554284023203130.525.539.548.5293329.52635.5
LLaMA-AdapterVision Encoder=ViT-B, LLM Size=7B2024.0431.7232851303353.532.533.525.521.530.52922.541.539.52531.522.52832
mPLUG-Owl-V2024.0629.7222834292940.52731.527232931.527404424312620.529.5
Random2024.0627.3252533.3252533.32533.325252533.32533.333.32533.3252030.9
Otter-V2024.0626.8232327.52729.553283324.523.527.52628.51838.5222223.51919.5